Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.1 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Wallays
1
77 kgJuul-Jensen
5
73 kgKwiatkowski
7
68 kgMajka
8
62 kgSagan
12
78 kgVermote
24
74 kgDillier
26
75 kgSalomein
31
80 kgOwsian
32
66 kgPoljański
38
63 kgEijssen
39
60 kgVermote
40
74 kgJones
41
64 kgGuldhammer
48
66 kgSteels
52
78 kgPolnický
53
68 kgSelig
60
80 kgBrändle
62
80 kgPetruš
71
58 kgImhof
80
80 kgMahďar
86
61 kgNovák
103
71 kgRosskopf
107
74 kg
1
77 kgJuul-Jensen
5
73 kgKwiatkowski
7
68 kgMajka
8
62 kgSagan
12
78 kgVermote
24
74 kgDillier
26
75 kgSalomein
31
80 kgOwsian
32
66 kgPoljański
38
63 kgEijssen
39
60 kgVermote
40
74 kgJones
41
64 kgGuldhammer
48
66 kgSteels
52
78 kgPolnický
53
68 kgSelig
60
80 kgBrändle
62
80 kgPetruš
71
58 kgImhof
80
80 kgMahďar
86
61 kgNovák
103
71 kgRosskopf
107
74 kg
Weight (KG) →
Result →
80
58
1
107
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WALLAYS Jelle | 77 |
| 5 | JUUL-JENSEN Christopher | 73 |
| 7 | KWIATKOWSKI Michał | 68 |
| 8 | MAJKA Rafał | 62 |
| 12 | SAGAN Peter | 78 |
| 24 | VERMOTE Julien | 74 |
| 26 | DILLIER Silvan | 75 |
| 31 | SALOMEIN Jarl | 80 |
| 32 | OWSIAN Łukasz | 66 |
| 38 | POLJAŃSKI Paweł | 63 |
| 39 | EIJSSEN Yannick | 60 |
| 40 | VERMOTE Alphonse | 74 |
| 41 | JONES Carter | 64 |
| 48 | GULDHAMMER Rasmus | 66 |
| 52 | STEELS Stijn | 78 |
| 53 | POLNICKÝ Jiří | 68 |
| 60 | SELIG Rüdiger | 80 |
| 62 | BRÄNDLE Matthias | 80 |
| 71 | PETRUŠ Lubomir | 58 |
| 80 | IMHOF Claudio | 80 |
| 86 | MAHĎAR Martin | 61 |
| 103 | NOVÁK Jakub | 71 |
| 107 | ROSSKOPF Joey | 74 |